OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

An Automated Diagnostic System for Heart Disease Prediction Based on ${\chi^{2}}$ Statistical Model and Optimally Configured Deep Neural Network
Liaqat Ali, Atiqur Rahman, Irfan Ullah Khan, et al.
IEEE Access (2019) Vol. 7, pp. 34938-34945
Open Access | Times Cited: 238

Showing 1-25 of 238 citing articles:

An IoT Framework for Heart Disease Prediction Based on MDCNN Classifier
Mohammad Ayoub Khan
IEEE Access (2020) Vol. 8, pp. 34717-34727
Open Access | Times Cited: 270

A decision support system for heart disease prediction based upon machine learning
Pooja Rani, Rajneesh Kumar, Nada Ahmed, et al.
Journal of Reliable Intelligent Environments (2021) Vol. 7, Iss. 3, pp. 263-275
Closed Access | Times Cited: 264

An Intelligent Learning System Based on Random Search Algorithm and Optimized Random Forest Model for Improved Heart Disease Detection
Ashir Javeed, Shijie Zhou, Yongjian Liao, et al.
IEEE Access (2019) Vol. 7, pp. 180235-180243
Open Access | Times Cited: 242

A Healthcare Monitoring System for the Diagnosis of Heart Disease in the IoMT Cloud Environment Using MSSO-ANFIS
Mohammad Ayoub Khan, Fahad Algarni
IEEE Access (2020) Vol. 8, pp. 122259-122269
Open Access | Times Cited: 222

An improved ensemble learning approach for the prediction of heart disease risk
Ibomoiye Domor Mienye, Yanxia Sun, Zenghui Wang
Informatics in Medicine Unlocked (2020) Vol. 20, pp. 100402-100402
Open Access | Times Cited: 218

IoT-Cloud-Based Smart Healthcare Monitoring System for Heart Disease Prediction via Deep Learning
A Angel Nancy, D. Ravindran, P. M. Durai Raj Vincent, et al.
Electronics (2022) Vol. 11, Iss. 15, pp. 2292-2292
Open Access | Times Cited: 159

Machine Learning Technology-Based Heart Disease Detection Models
Umarani Nagavelli, Debabrata Samanta, Partha Chakraborty
Journal of Healthcare Engineering (2022) Vol. 2022, pp. 1-9
Open Access | Times Cited: 134

hyOPTXg: OPTUNA hyper-parameter optimization framework for predicting cardiovascular disease using XGBoost
P. V. S. Srinivas, Rahul Katarya
Biomedical Signal Processing and Control (2021) Vol. 73, pp. 103456-103456
Closed Access | Times Cited: 118

A hybrid GA and PSO optimized approach for heart-disease prediction based on random forest
Mohamed G. El-Shafiey, Ahmed Hagag, El‐Sayed A. El‐Dahshan, et al.
Multimedia Tools and Applications (2022) Vol. 81, Iss. 13, pp. 18155-18179
Open Access | Times Cited: 93

Real-Time Cloud-Based Patient-Centric Monitoring Using Computational Health Systems
Chinmay Chakraborty, Amit Kishor
IEEE Transactions on Computational Social Systems (2022) Vol. 9, Iss. 6, pp. 1613-1623
Closed Access | Times Cited: 87

Machine Learning for Dementia Prediction: A Systematic Review and Future Research Directions
Ashir Javeed, Ana Luiza Dallora, Johan Berglund, et al.
Journal of Medical Systems (2023) Vol. 47, Iss. 1
Open Access | Times Cited: 83

An automatic heart disease prediction using cluster-based bi-directional LSTM (C-BiLSTM) algorithm
P. Dileep, Kunjam Nageswara Rao, Prajna Bodapati, et al.
Neural Computing and Applications (2022) Vol. 35, Iss. 10, pp. 7253-7266
Closed Access | Times Cited: 70

Heart Diagnosis Using Deep Neural Network
Shachi Mall, Jagendra Singh
(2023), pp. 7-12
Closed Access | Times Cited: 45

An Extensive Review of Machine Learning and Deep Learning Techniques on Heart Disease Classification and Prediction
Pooja Rani, Rajneesh Kumar, Anurag Jain, et al.
Archives of Computational Methods in Engineering (2024) Vol. 31, Iss. 6, pp. 3331-3349
Closed Access | Times Cited: 20

Predicting Heart Disease at Early Stages using Machine Learning: A Survey
Rahul Katarya, P. V. S. Srinivas
2020 International Conference on Electronics and Sustainable Communication Systems (ICESC) (2020), pp. 302-305
Closed Access | Times Cited: 114

Medical Internet of things using machine learning algorithms for lung cancer detection
Kanchan Pradhan, Priyanka Chawla
Journal of Management Analytics (2020) Vol. 7, Iss. 4, pp. 591-623
Closed Access | Times Cited: 110

Ensemble of heterogeneous classifiers for diagnosis and prediction of coronary artery disease with reduced feature subset
Durgadevi Velusamy, Karthikeyan Ramasamy
Computer Methods and Programs in Biomedicine (2020) Vol. 198, pp. 105770-105770
Closed Access | Times Cited: 87

Improved Heart Disease Prediction Using Particle Swarm Optimization Based Stacked Sparse Autoencoder
Ibomoiye Domor Mienye, Yanxia Sun
Electronics (2021) Vol. 10, Iss. 19, pp. 2347-2347
Open Access | Times Cited: 63

Enhanced Heart Disease Prediction Based on Machine Learning and χ2 Statistical Optimal Feature Selection Model
Raniya R. Sarra, Ahmed M. Dinar, Mazin Abed Mohammed, et al.
Designs (2022) Vol. 6, Iss. 5, pp. 87-87
Open Access | Times Cited: 63

A hybrid cost-sensitive ensemble for heart disease prediction
Zhenya Qi, Zuoru Zhang
BMC Medical Informatics and Decision Making (2021) Vol. 21, Iss. 1
Open Access | Times Cited: 61

Effective heart disease prediction using novel MLP-EBMDA approach
D. Deepika, N. Balaji
Biomedical Signal Processing and Control (2021) Vol. 72, pp. 103318-103318
Closed Access | Times Cited: 56

Heart disease prediction based on pre-trained deep neural networks combined with principal component analysis
Diman Hassan, Haval I. Hussein, Masoud Muhammed Hassan
Biomedical Signal Processing and Control (2022) Vol. 79, pp. 104019-104019
Closed Access | Times Cited: 54

Role of Oxidative Stress and Inflammation in Insomnia Sleep Disorder and Cardiovascular Diseases: Herbal Antioxidants and Anti-inflammatory Coupled with Insomnia Detection using Machine Learning
Md Belal Bin Heyat, Dakun Lai, Kaishun Wu, et al.
Current Pharmaceutical Design (2022) Vol. 28, Iss. 45, pp. 3618-3636
Closed Access | Times Cited: 38

A Holistic Approach to Identify and Classify COVID-19 from Chest Radiographs, ECG, and CT-Scan Images Using ShuffleNet Convolutional Neural Network
Naeem Ullah, Javed Ali Khan, Shaker El–Sappagh, et al.
Diagnostics (2023) Vol. 13, Iss. 1, pp. 162-162
Open Access | Times Cited: 38

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